Jared Hudson for Alabama US Inactive
Hudson for Alabama
Chip in today and get a free tee
Join me in supporting Hudson for Alabama
Ad copy
Free tees are now available when you contribute to my campaign! If you want to help this campaign grow, we’ll send you a free tee. Let’s blanket this state with a message Washington can’t ignore. I spent years as a Navy SEAL taking the fight to America’s enemies. Now we’re taking the fight to the Swamp. Let’s get to work.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 43.9/100 |
| Spend / Reach / Long. / Eff. | 25.8 · 68.1 · 16.0 · 65.7 |
| Spend range | USD 500–599 |
| Impressions | 40,000 – 44,999 |
| CPM (≈ $/1k impr) | USD 12.93 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 59 (2026-04-07 → 2026-06-05) |
| Created | 2026-04-07 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | AL — Jared Hudson |
| Surfaced by | “senate:Jared Hudson” |
🧠 AI analysis
| Issue | candidate character bio |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | candidate, veterans military |
| Symbols | us flag, military, guns 2a |
| Call to action | donate |
| Standout element | Candidate posed with rifle on a black t-shirt with American flag backdrop and 'Navy SEAL' credential prominently displayed |
| Tactic | Uses a merchandise incentive (free tee) to drive small-dollar donations while simultaneously spreading campaign branding, leveraging the candidate's Navy SEAL identity as a credibility anchor and masculinity signal. |
Where it ran (delivery by region)
| Alabama | 100.0% |
Who saw it (delivery)
| 18-24 · female | 0.6% |
| 45-54 · male | 12.0% |
| 65+ · male | 12.7% |
| 65+ · female | 13.2% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 14.3% |
| 55-64 · female | 12.6% |
| 45-54 · unknown | 0.1% |
| 45-54 · female | 8.2% |
| 18-24 · male | 2.0% |
| 35-44 · unknown | 0.1% |
| 35-44 · male | 9.4% |
| 35-44 · female | 5.8% |
| 25-34 · unknown | 0.0% |
| 25-34 · male | 6.2% |
| 25-34 · female | 2.2% |
| 18-24 · unknown | 0.0% |
| 65+ · unknown | 0.2% |
